Adaptive Immersive Training Research
Abstract
SUMMARY/ABSTRACT Critical to the Navy is its ability to maintain ships in mission-ready condition at all times. Recognizing and troubleshooting problems on board ship is a crucial skill for technicians, and is essential for a ship’s viability and the safety of its crew. Much of the knowledge and skills required of engineering technicians is to effectively utilize situational and diagnostic cues from the engineering plant to determine potential or actual problems early on, and address them in time before they can escalate to costly and/or dangerous levels. Training to be proficient in such skills requires more than just content understanding and system knowledge, but also necessitates being able to blend this knowledge in hands-on, realworld contexts. A virtualized training environment in which key systems of a ship can be replicated in authentic ways, and in which a student is enabled to interact both physically and cognitively with the system, affords great benefits for training and assessing for engineering related skills/ratings. In such an environment, the student would practice tasks and decisionmaking in authentic, simulated contexts, and be able to use his or her senses to detect abnormal conditions such as excessive heat, unusual sounds, or odors emanating from certain pieces of equipment – all of which could be indicators of problems that can be triaged appropriately and addressed. The National Center for Research on Evaluation, Standards, and Student Testing (CRESST) proposes to develop an engineering-skills virtual reality test bed. It will combine interface technologies to support advanced sensing modalities (including motion and gesture recognition), advanced feedback modalities (including tactile and olfactory feedback), advanced adaptive training technology, and automated performance assessment capabilities. This proposal outlines the research that we will conduct to examine the effects of multisensory stimuli in an instructional/training setting on learning and performance. This will include looking at adapting task complexity both within and between scenarios, and other supplemental training modules, including perceptual learning modules, and modules on selfmonitoring and creative thinking that focus on troubleshooting.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2016
- Source ID
- N000141512345
Entities
People
- Eva L. Baker
Organizations
- Office of Naval Research
- United States Navy
- University of California, Los Angeles